This paper analyzes the impact of the German autobahn net on the economic performance of German regions. To address endogeneity and reverse causation problems, we use historical instrument variables, i.e. a plan of the railroad net in 1890 and a plan of the autobahn net in 1937. We find a...

We estimate the network externality of a public transit system by examining the effects of its expansion on the housing market. Our results show that a major expansion of Singapore's Mass Rapid Transit (MRT) system increased the price of apartments within 0.5 km of a pre-expansion station by...

We develop a new methodology to estimate the elasticity of urban costs with respect to city population using French land price data. Our preferred estimate, which handles a number of estimation concerns, stands at 0.041. Our approach also yields a number of intermediate outputs of independent...

Much has been written identifying property price effects of historic preservation policies. Little attention has been paid to the possible policy endogeneity in hedonic price models. This paper outlines a general case of land use regulation in the presence of externalities and then demonstrates...

This paper presents the quantile estimation of house price between two years, 2004 and 2007 (a boom house price period) in several Spanish cities. We decompose the change in house price distribution into portions: changes in the distributions of the explanatory variables and changes in...

The presence of lead paint significantly impairs cognitive and behavioral development, yet little is known about the value to households of avoiding this residence-specific environmental health risk. In this paper, we estimate the benefits of lead-paint remediation on housing prices. Using data...

We study the impact of the 2015 mass arrival of refugees to Germany on residential housing rents. Using unique data on end of year county-level refugee populations and data on monthly offers of flats for rent from Germany's leading online property broker Immobilienscout24, we find strong...

We estimate the transmission of the pandemic shock in 2020 to prices in the residential and commercial real estate market by causal machine learning, using new granular data at the municipal level for Germany. We exploit differences in the incidence of Covid infections or short-time work at the...

Participants to an online study in Luxembourg are presented with fictitious real-estate advertisements and tasked to make an offer for each of them. A random subset is also shown sellers' names that are strongly framed to signal their origins. Our randomised procedure allows us to conclude that,...

We study the effects of rental price changes on college enrollment rates. We exploit cross-district variation in the size and timing of local rental price booms in Germany during the 2010s. A one standard deviation increase in apartment rents decreased per-capita college enrollment by 1.1...